home / mcp / keywordspeopleuse mcp server
Provides keyword research data via MCP, including People Also Ask, Autocomplete, community questions, and semantic keywords.
Configuration
View docs{
"mcpServers": {
"data-skunks-kpu-mcp": {
"url": "https://mcp-keywordspeopleuse.com/sse",
"headers": {
"KPU_API_KEY": "YOUR_API_KEY"
}
}
}
}You can run a KeywordsPeopleUse MCP Server to access keyword research features directly from your MCP-enabled client. This server lets you retrieve People Also Ask questions, Google Autocomplete suggestions, Reddit and Quora questions, and Semantic Keywords, enabling powerful keyword research workflows from your own tools.
Connect your MCP client to KeywordsPeopleUse to access keyword research features from your own workspace. Use the HTTP/MCP URL for remote access or run a local server instance and connect via the standard MCP client configuration. You can then query for People Also Ask, Autocomplete suggestions, community questions, and semantic keyword data to fuel content ideas, SEO research, and topic exploration.
Prerequisites: you need Node.js and npm installed on your computer. Verify the installations with these commands.
node --version
```
```bash
npm --versionClone the MCP server repository to your machine.
git clone https://github.com/data-skunks/kpu-mcp.gitObtain your API key from KeywordsPeopleUse by going to Settings and selecting Show key. Copy the key and paste it into your project’s environment file as KPU_API_KEY.
KPU_API_KEY=sk_01234567890123456789012345678901Install the server dependencies.
npm installRunning the server locally will prepare you to connect from MCP clients. The following sections show how to configure common MCP clients like Cursor and Claude Desktop.
Remote connection to the MCP server uses a proxy approach. You can connect Claude Desktop to the MCP server by configuring the remote proxy with your API key. Restart Claude after updating the configuration.
Fetches People Also Ask questions related to a given query.
Retrieves Google Autocomplete suggestions to complete user queries.
Returns related questions from Reddit and Quora to broaden topic exploration.
Produces semantically related keywords to expand content ideas and SEO opportunities.